On strategies for determination and characterization of the underlying event
Sebastian Sapeta

TL;DR
This paper compares traditional and jet-area/median methods for measuring the underlying event in particle collisions, finding the latter better for fluctuations and analyzing various Monte Carlo models.
Contribution
It introduces a toy model for the underlying event and evaluates the performance of two measurement approaches, highlighting the advantages of the jet-area/median method.
Findings
Both methods effectively measure average UE properties.
Jet-area/median method better captures fluctuations.
Analysis of Monte Carlo tunes reveals key UE characteristics.
Abstract
We discuss the problem of the separation and description of the underlying event (UE) within two existing approaches to UE measurement: the "traditional" method, widely used at Tevatron, and a recently proposed jet-area/median method. A simple toy model of UE is developed in order to understand how these approaches perform. We find that both methods are comparably good for measuring average properties of the UE but the jet-area/median approach is favorable for determining fluctuations. We also use the latter method to study the UE from several existing Monte Carlo generator tunes. We investigate which characteristics of the underlying event might be useful to measure in order to improve understanding of its properties and to simulate it well. These include transverse momentum density per area, intra and inter-event fluctuations and correlations.
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Taxonomy
TopicsSimulation Techniques and Applications · Advanced Data Processing Techniques
